Li Runmin, Li Ying, Li Bingchen, Sun Haiyang, Liu Xinyu, Ge Xin, Liu Yuanxiang, Yang Jiguo
College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan.
Nanchang University, Jiangxi.
Medicine (Baltimore). 2020 Aug 7;99(32):e21584. doi: 10.1097/MD.0000000000021584.
Acute cerebral infarction (ACI) has a high incidence, recurrence rate, and mortality. Chinese herbal injections (CHIs) are widely used in the substitution therapy of ACI. Due to the lack of randomized trials comparing the efficacy of various injections directly, it is still difficult to judge the relative efficacy. Therefore, we intend to conduct a network meta-analysis to evaluate the benefit among these CHIs.
According to the retrieval strategies, randomized controlled trials (RCTs) on CHI therapies for ACI will be obtained from China National Knowledge Infrastructure, WanFang, Chinese Scientific Journals Database, PubMed, Embase and Cochrane Library, regardless of publication date or language. Studies were screened based on inclusion and exclusion criteria, and the Cochrane risk bias assessment tool will be used to evaluate the quality of the literature. The network meta-analysis will be performed in Markov Chain Monte Carlo method and carried out with Stata 14 and WinBUGS 1.4.3 software. Ultimately, the evidentiary grade for the results will be evaluated.
This study will compare the efficacy and safety of CHIs in the treatment of ACI, and give a more reasonable choice.
Our findings will provide references for future clinical decision and guidance developing.INPLASY registration number: INPLASY202060087.
急性脑梗死(ACI)发病率、复发率及死亡率均较高。中药注射剂(CHIs)广泛应用于ACI的替代治疗。由于缺乏直接比较各种注射剂疗效的随机试验,目前仍难以判断其相对疗效。因此,我们打算进行一项网状Meta分析,以评估这些中药注射剂的获益情况。
根据检索策略,将从中国知网、万方、维普、PubMed、Embase和Cochrane图书馆获取关于CHIs治疗ACI的随机对照试验(RCTs),不限出版日期和语言。根据纳入和排除标准筛选研究,并使用Cochrane风险偏倚评估工具评估文献质量。网状Meta分析将采用马尔可夫链蒙特卡罗方法,使用Stata 14和WinBUGS 1.4.3软件进行。最终,将对结果的证据等级进行评估。
本研究将比较CHIs治疗ACI的疗效和安全性,并给出更合理的选择。
我们的研究结果将为未来临床决策和指南制定提供参考。INPLASY注册号:INPLASY202060087。